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    Atman36

    codebase-analysis

    Atman36/codebase-analysis
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    About

    SKILL.md

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    About

    Systematically analyze codebase structure, complexity, dependencies, and architectural patterns to understand project organization

    SKILL.md

    Codebase Analysis Skill

    Objective

    Perform comprehensive, systematic analysis of project codebases to understand:

    • Project structure and organization
    • Technology stack and dependencies
    • Architectural patterns and conventions
    • Code complexity and quality metrics
    • Key components and their relationships

    When to Use This Skill

    Auto-invoke when:

    • Starting work on a new project
    • User asks to "analyze", "review", "audit", or "understand" the codebase
    • Before making architectural decisions
    • Planning refactoring or major changes
    • Onboarding new developers

    Analysis Methodology

    Phase 1: Discovery (Project Structure)

    Goal: Map the high-level project organization

    Tools: Glob, LS, Read

    Process:

    1. Identify project type by reading package.json, tsconfig.json, or framework-specific configs
    2. Map directory structure using LS at root level:
      Key directories to identify:
      - Source code: src/, app/, pages/, components/
      - Tests: __tests__/, tests/, *.test.*, *.spec.*
      - Config: config/, .config/
      - Documentation: docs/, README.md
      - Build output: dist/, build/, .next/
      
    3. Scan for important files:
      • Build configs: vite.config.*, webpack.config.*, next.config.*
      • TypeScript: tsconfig.json, tsconfig.*.json
      • Package management: package.json, package-lock.json, yarn.lock, pnpm-lock.yaml
      • Environment: .env*, .env.example
      • Git: .gitignore, .git/

    Phase 2: Technology Stack Analysis

    Goal: Identify frameworks, libraries, and versions

    Tools: Read, Grep

    Process:

    1. Read package.json:

      • Extract dependencies (runtime libraries)
      • Extract devDependencies (development tools)
      • Note scripts (available commands)
      • Check engines (Node.js version requirements)
    2. Identify framework:

      • Next.js: Check for next in dependencies, next.config.*, app/ or pages/ directory
      • React: Check for react and react-dom
      • Vue: Check for vue, *.vue files
      • Svelte: Check for svelte, *.svelte files
      • Angular: Check for @angular/core, angular.json
    3. Identify key libraries:

      • State management: Redux, Zustand, MobX, Pinia
      • Routing: react-router, vue-router, next/navigation
      • UI libraries: MUI, Ant Design, shadcn/ui, Chakra UI
      • Styling: Tailwind CSS, styled-components, emotion, CSS modules
      • Testing: Vitest, Jest, Playwright, Cypress
      • Build tools: Vite, Webpack, esbuild, Turbopack

    Phase 3: Architecture Pattern Analysis

    Goal: Understand code organization and patterns

    Tools: Grep, Glob, Read

    Process:

    1. Component patterns (for React/Vue/Svelte):

      Use Glob to find: **/*.{jsx,tsx,vue,svelte}
      Analyze:
      - Component naming conventions
      - File structure (co-located styles, tests)
      - Component size (lines of code)
      
    2. API/Backend patterns:

      Use Grep to search for:
      - API routes: "export.*GET|POST|PUT|DELETE"
      - Database queries: "prisma\.|mongoose\.|sql"
      - Authentication: "auth|jwt|session"
      
    3. State management patterns:

      Use Grep to find:
      - Context API: "createContext|useContext"
      - Redux: "createSlice|useSelector"
      - Zustand: "create.*useStore"
      
    4. File organization patterns:

      • Monorepo: Check for packages/, apps/, turbo.json, nx.json
      • Feature-based: Check for directories like features/, modules/
      • Layer-based: Check for components/, services/, utils/, hooks/

    Phase 4: Code Quality & Complexity Assessment

    Goal: Identify potential issues and technical debt

    Tools: Grep, Bash, Read

    Process:

    1. Linting & Formatting:

      • Check for: .eslintrc*, .prettierrc*, biome.json
      • Run linter if available: npm run lint (via Bash)
    2. Testing coverage:

      • Find test files: Use Glob for **/*.{test,spec}.{js,ts,jsx,tsx}
      • Calculate coverage: Run npm run test:coverage if available
    3. TypeScript strictness:

      • Read tsconfig.json
      • Check strict: true, strictNullChecks, etc.
      • Look for @ts-ignore or any usage (Grep)
    4. Code complexity indicators:

      Use Grep to flag potential issues:
      - Large files: Find files > 500 lines
      - Deep nesting: Search for excessive indentation
      - TODO/FIXME comments: Grep for "TODO|FIXME|HACK"
      - Console logs: Grep for "console\.(log|debug|warn)"
      

    Phase 5: Dependency & Security Analysis

    Goal: Identify outdated or vulnerable dependencies

    Tools: Bash, Read

    Process:

    1. Check for lock files:

      • Presence of package-lock.json, yarn.lock, pnpm-lock.yaml
    2. Run security audit (if npm/pnpm available):

      npm audit --json
      # or
      pnpm audit --json
      
    3. Check for outdated dependencies:

      npm outdated
      

    Output Format

    Provide a structured analysis report:

    # Codebase Analysis Report
    
    ## Project Overview
    - **Name**: [project name from package.json]
    - **Type**: [framework/library]
    - **Version**: [version]
    - **Node.js**: [required version]
    
    ## Technology Stack
    ### Core Framework
    - [Framework name & version]
    
    ### Key Dependencies
    - UI: [library]
    - State: [library]
    - Routing: [library]
    - Styling: [library]
    - Testing: [library]
    
    ### Build Tools
    - [Vite/Webpack/etc]
    
    ## Architecture
    
    ### Directory Structure
    

    [tree-like representation of key directories]

    
    ### Patterns Identified
    - [Component patterns]
    - [State management approach]
    - [API structure]
    - [File organization]
    
    ## Code Quality Metrics
    - **TypeScript**: [strict/loose/none]
    - **Linting**: [ESLint/Biome/none]
    - **Testing**: [X test files found, coverage: Y%]
    - **Code Issues**: [TODOs: X, Console logs: Y]
    
    ## Recommendations
    1. [Priority recommendation]
    2. [Next priority]
    3. ...
    
    ## Risk Areas
    - [Potential issues or technical debt]
    
    ## Next Steps
    - [Suggested actions based on analysis]
    

    Best Practices

    1. Progressive Detail: Start with high-level overview, dive deeper only when needed
    2. Context Window Management: For large codebases, analyze in chunks (by directory/feature)
    3. Tool Selection:
      • Use Glob for file discovery (faster than find)
      • Use Grep for pattern search (faster than reading all files)
      • Use Read only for critical files (package.json, configs)
    4. Time Efficiency: Complete analysis in < 60 seconds for typical projects
    5. Actionable Insights: Always provide specific, actionable recommendations

    Integration with Other Skills

    This skill works well with:

    • quality-gates - Use analysis results to run appropriate quality checks
    • project-initialization - Compare against templates to identify missing setup
    • refactoring-safe - Identify refactoring opportunities
    • Framework-specific skills (nextjs-optimization, react-patterns) - Auto-invoke based on detected framework

    Error Handling

    If analysis cannot complete:

    1. Missing dependencies: Suggest running npm install
    2. Corrupted files: Report specific files and continue with partial analysis
    3. Large codebase: Switch to targeted analysis mode (specific directories only)
    4. Permission issues: Request necessary file access permissions

    Version History

    • 1.0.0 (2025-01-03): Initial skill creation with progressive disclosure support
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